EOL HF
Data EOL: temperature (°C), salinity and oxygen (µmol kg-1) - Full dataset
Full period (January 2014 - December 2022) - Temperature and Salinity
By autocorrelation + decompose function or Mann-Kendall : not possible because of gaps
## Slope SE Slope P Slope Intercept SE int.
## Salinity_ano 0.006824691 0.0004434603 2.590583e-53 -13.78382 0.8956567
## Temperature_ano 0.109580806 0.0025365236 0.000000e+00 -221.32602 5.1231510
## P int. F df R2 P value
## Salinity_ano 2.590937e-53 236.8408 47148 0.00499824 2.590583e-53
## Temperature_ano 0.000000e+00 1866.3417 47949 0.03746520 0.000000e+00Temperature
Salinity
Daily dataset (8AM-10AM from January 2014 to December 2022) - Temperature and Salinity
Missing values : - feb + march of 2014 (only one value for december) - may, august and september of 2016 - august and september of 2017 - april 2019
monthly_means_EOL2 <- ungroup(EOL_daily) %>%
mutate(Month = format(datetime, format="%m")) %>%
group_by(Month) %>%
summarise(
Salinity_month = mean(salinity, na.rm = TRUE),
Temperature_month = mean(temperature, na.rm = TRUE))
monthly_means_EOL2## # A tibble: 12 × 3
## Month Salinity_month Temperature_month
## <chr> <dbl> <dbl>
## 1 01 38.0 14.6
## 2 02 38.1 13.9
## 3 03 38.0 13.8
## 4 04 37.9 15.2
## 5 05 37.8 17.9
## 6 06 37.8 22.1
## 7 07 38.0 25.5
## 8 08 38.1 26.1
## 9 09 38.2 24.2
## 10 10 38.2 21.1
## 11 11 38.0 18.1
## 12 12 38.0 16.3## Slope SE Slope P Slope Intercept SE int.
## Salinity_ano 0.0007892558 0.001666906 6.359082e-01 -1.593493 3.365454
## Temperature_ano 0.0507068168 0.009487740 9.879220e-08 -102.378689 19.156066
## P int. F df R2 P value
## Salinity_ano 6.359085e-01 0.2241886 2495 8.984706e-05 6.359082e-01
## Temperature_ano 9.879443e-08 28.5632175 2529 1.116814e-02 9.879220e-08Temperature
Salinity
Hourly dataset from January 2018 to December 2022 - Temperature, salinity, oxygen
monthly_means_EOL3 <- ungroup(EOL_hourly) %>%
mutate(Month = format(datetime, format="%m")) %>%
group_by(Month) %>%
summarise(
Salinity_month = mean(salinity, na.rm = TRUE),
Temperature_month = mean(temperature, na.rm = TRUE),
Oxygen_month = mean(oxygen, na.rm = TRUE),
AOU_month = mean(AOU, na.rm = TRUE))
monthly_means_EOL3## # A tibble: 12 × 5
## Month Salinity_month Temperature_month Oxygen_month AOU_month
## <chr> <dbl> <dbl> <dbl> <dbl>
## 1 01 38.0 14.6 246. -1.36
## 2 02 38.1 13.9 252. -4.23
## 3 03 38.0 13.9 258. -9.57
## 4 04 37.9 15.1 259. -16.8
## 5 05 37.8 18.2 249. -20.4
## 6 06 37.8 22.4 230. -18.0
## 7 07 37.9 26.1 212. -13.0
## 8 08 38.1 26.7 207. -10.3
## 9 09 38.2 24.5 214. -10.2
## 10 10 38.1 21.2 227. -11.0
## 11 11 38.0 18.7 232. -6.35
## 12 12 38.0 16.4 241. -3.91## Slope SE Slope P Slope Intercept SE int.
## Salinity_ano 0.02633193 0.0007535235 1.819614e-263 -53.20225 1.522454
## Temperature_ano 0.03265243 0.0040917828 1.502217e-15 -65.97407 8.267429
## Oxygen_ano -1.46509596 0.0270575012 0.000000e+00 2960.14791 54.668245
## AOU_ano 1.34719913 0.0230784715 0.000000e+00 -2721.94370 46.628827
## P int. F df R2 P value
## Salinity_ano 1.820137e-263 1221.15760 39007 0.030355792 1.819614e-263
## Temperature_ano 1.502241e-15 63.68042 39808 0.001597134 1.502217e-15
## Oxygen_ano 0.000000e+00 2931.95138 39006 0.069911650 0.000000e+00
## AOU_ano 0.000000e+00 3407.60703 39006 0.080342307 0.000000e+00Temperature
Salinity
## Oxygen
AOU
